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Comment on Neuralink to implant 2nd human with brain chip as 85% of threads retract in 1st

golli@lemm.ee ⁨5⁩ ⁨months⁩ ago

with 85% of the promised functionality no longer functional

To be fair 85% of threads retracting doesn’t seem to translate to an equal amount of functional loss. The article mentions

Neuralink was quick to note that it was able to adjust the algorithm used for decoding those neuronal signals to compensate for the lost electrode data. The adjustments were effective enough to regain and then exceed performance on at least one metric—the bits-per-second (BPS) rate used to measure how quickly and accurately a patient with an implant can control a computer cursor.

I think it will be impossible for us to asses how much it actually impacts function in real world use case.

It seems clear that this is a case of learning by trial and error, which considering the stakes doesn’t seem like the right approach.

The question that this article doesn’t answer is, whether they have learned anything at all or if they are just proceeding to do the same thing again. And if they have learned something, is there something preventing it to be applied to the first patient.

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MajorHavoc@programming.dev ⁨5⁩ ⁨months⁩ ago

if they have learned something, is there something preventing it to be applied to the first patient.

That’s part of what makes me see this as a really bad look.

“Install it deeper” isn’t rocket science, and it sounds like their first volunteer is willing.

They just want the extra data from leaving their first volunteer where they landed.

Human subject experiments are supposed to carry more long term obligation than this.

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CosmicCleric@lemmy.world ⁨5⁩ ⁨months⁩ ago

I think it will be impossible for us to asses how much it actually impacts function in real world use case.

Does seem fair though to say though that if you have 85% less input probes, that you’re losing some to a large amount of fidelity, than an algorithm can only make up so much for. At the end of the day, it’s a lack of data that was originally expected for the algorithm to work with.

A potentionally bad analogy, but think of it as a high bitrate versus a low bitrate, for listening to music. The quality of the music will be notably different, but you would still be able to hear both of the songs in their entirety.

~Anti~ ~Commercial-AI~ ~license~ ~(CC~ ~BY-NC-SA~ ~4.0)~

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lorkano@lemmy.world ⁨5⁩ ⁨months⁩ ago
For sure they learned something, they must have some ideas why those retracted. Also they confirmed viability of technology by doing tests before those retracted

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